Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Transforming of scalp EEGs with different channel locations by REST for comparative study.

Brain research bulletin·2024
Same author

One hundred years of EEG for brain and behaviour research.

Nature human behaviour·2024
Same author

The high frequency oscillations in the amygdala, hippocampus, and temporal cortex during mesial temporal lobe epilepsy.

Cognitive neurodynamics·2024
Same author

Neurostructural subgroup in 4291 individuals with schizophrenia identified using the subtype and stage inference algorithm.

Nature communications·2024
Same author

Reliable object tracking by multimodal hybrid feature extraction and transformer-based fusion.

Neural networks : the official journal of the International Neural Network Society·2024
Same author

Temporal Dynamic Synchronous Functional Brain Network for Schizophrenia Classification and Lateralization Analysis.

IEEE transactions on medical imaging·2024
Same journal

[Advances in research on neuroelectrophysiological characteristics of post-stroke cognitive impairment based on quantitative electroencephalography and acupuncture interventions].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Mechanisms and applications of magnesium ion-regulated stem cell functions in promoting tendon-bone interface healing].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Applications and challenges of ultra-high molecular weight polyethylene fibers in minimally invasive medical devices].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Research on auditory neurofeedback technology and its multi-disciplinary applications].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Application and perspective of novel auditory intervention paradigms based on verbal and nonverbal stimuli for severe traumatic brain injury].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Research progress on the neuromodulation targets in stroke rehabilitation].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
See all related articles

Related Experiment Video

Updated: Apr 20, 2026

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
13:32

Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

Published on: June 26, 2012

27.2K

[Study on neurofeedback system based on electroencephalogram signals].

Xianjie Pu, Tiejun Liu, Qiang Wu

    Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
    |December 4, 2014
    PubMed
    Summary
    This summary is machine-generated.

    This study presents a neurofeedback system using electroencephalogram (EEG) signals for brain function regulation. The system translates EEG data into feedback, aiding relaxation and attention training.

    More Related Videos

    A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
    07:05

    A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

    Published on: August 24, 2017

    11.6K
    EEG Mu Rhythm in Typical and Atypical Development
    11:50

    EEG Mu Rhythm in Typical and Atypical Development

    Published on: April 9, 2014

    26.8K

    Related Experiment Videos

    Last Updated: Apr 20, 2026

    Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping
    13:32

    Recording Human Electrocorticographic ECoG Signals for Neuroscientific Research and Real-time Functional Cortical Mapping

    Published on: June 26, 2012

    27.2K
    A Protocol for the Administration of Real-Time fMRI Neurofeedback Training
    07:05

    A Protocol for the Administration of Real-Time fMRI Neurofeedback Training

    Published on: August 24, 2017

    11.6K
    EEG Mu Rhythm in Typical and Atypical Development
    11:50

    EEG Mu Rhythm in Typical and Atypical Development

    Published on: April 9, 2014

    26.8K

    Area of Science:

    • Behavioral Medicine
    • Neuroscience
    • Biomedical Engineering

    Background:

    • Neurofeedback offers an alternative treatment in behavioral medicine.
    • It utilizes electroencephalogram (EEG) signals for self-regulation of brain functions.
    • Existing methods require effective translation of complex EEG data into user-understandable feedback.

    Purpose of the Study:

    • To develop a novel neurofeedback system based on brain-computer interface (BCI) technology.
    • To enable real-time processing of EEG signals for user feedback.
    • To design specific feedback mechanisms for relaxation and attention training.

    Main Methods:

    • Development of a neurofeedback system integrating BCI techniques.
    • Real-time extraction and processing of electroencephalogram (EEG) features.
    • Translation of processed EEG data into auditory or visual feedback (sounds, animation).
    • Implementation of two distinct feedback screens tailored for relaxation and attention enhancement.
    • Validation through system simulation and preliminary experimental testing.

    Main Results:

    • Successful development of a functional neurofeedback system.
    • Demonstration of real-time EEG signal processing and feedback translation.
    • Preliminary validation indicating system feasibility and veracity for training applications.

    Conclusions:

    • The developed neurofeedback system effectively translates EEG signals into actionable feedback.
    • The system shows promise for aiding individuals in regulating brain functions for relaxation and attention.
    • Further research and experimentation are warranted to fully establish clinical efficacy.